Amazon Redshift vs Netezza Analytics comparison

The compared Amazon Web Services (AWS) and IBM solutions aren't in the same category. Amazon Web Services (AWS) is ranked #4 in CDW , with an average rating of 7.7, and holds a 7.7% mindshare in the category. IBM is ranked #11 in H , and holds a 1.5% mindshare. Additionally, 86% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 76% of IBM users who would recommend it.

Amazon Redshift

Read 67 Amazon Redshift reviews

5,914 Views
4,030 Comparison Views

86% willing to recommend

Netezza Analytics

Read 11 Netezza Analytics reviews

175 Views
85 Comparison Views

76% willing to recommend

Amazon Redshift

Netezza Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon Redshift and Netezza Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse.

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Buyer's Guide

Cloud Data Warehouse

November 2024

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Categories and Ranking

Amazon Redshift

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (4th)

Netezza Analytics

Average Rating

7.4

Number of Reviews

Ranking in other categories

Hadoop (11th)

Mindshare comparison

Amazon Redshift and Netezza Analytics aren’t in the same category and serve different purposes. Amazon Redshift is designed for Cloud Data Warehouse and holds a mindshare of 7.7%, down 11.5% compared to last year.
Netezza Analytics, on the other hand, focuses on Hadoop, holds 1.5% mindshare, up 1.2% since last year.

Cloud Data Warehouse

Hadoop

Featured Reviews

Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

Works as a data warehouse system and collects data from different sources

In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic. We often encounter issues like someone dropping a column or changing the order of columns, which can cause synchronization problems when pushing data through our pipeline. It's a minor issue, but it can be annoying.

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Asish Govind

Principal Solution Architect at Tech Mahindra Limited

Stable with limited administration needed but it's coming up on its end of life

I'm not sure if Netezza offers a cloud version of the solution or not, but if they don't they should. Most companies are focused on moving towards the cloud. If it was on a cloud it would offer certain scalability and performance aspects it can't offer as a physical appliance. I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature is that the solution is fully embedded in the AWS stack."

"The solution is scalable. It handles different loads very well."

"It allows you write complex queries and perform row by row processes."

"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."

"The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services."

"The most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."

"The feature that we find most useful is the ability to do analytics on the fly."

"The solution's speed, stability, and user concurrency have been very good."

More Amazon Redshift pros

"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."

"Speed contributes to large capacity."

"It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."

"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."

"The most valuable feature is the performance."

"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."

"The need for administration involvement is quite limited on the solution."

Cons

"The refreshment rate of data reaching Redshift from other sources should be faster."

"It lacks a few features which can be very useful, such as stored procedures"

"It would be good to see Redshift as a serverless offering."

"Migrating data from other data sources can be challenging when you are working with multibyte character sets."

"Sometimes, it's difficult to get the metadata from Redshift."

"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."

"It takes a lot of time to ingest and update the data."

"One area where Amazon Redshift could improve is in adopting the compute-separate, data-separate architecture, which Delta, Snowflake are adopting, and a few others in the cloud data warehouse spectrum."

More Amazon Redshift cons

"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."

"The solution could implement more reporting tools and networking utilities."

"The hardware has a risk of failure. They need to improve this."

"The Analytics feature should be simplified."

"The most valuable features of this solution are robustness and support."

"Administration of this product is too tough. It's very complex because of the tools which it's missing."

"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."

"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."

More Netezza Analytics cons

Pricing and Cost Advice

"The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."

"The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term."

"It's not very pricey compared to other tools. I would rate the price as 5 out of 10."

"Pricing for Amazon Redshift is reasonable, though it could be somewhat higher than other solutions, such as Azure. Still, when you base your comparison on the services offered and the pricing, it's the most reasonable versus its competitors, such as RDS."

"The solution is available at a mid-range price compared to other vendors."

"The product is quite expensive."

"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."

"The cost must be improved."

More Amazon Redshift pricing and cost advice

"Expensive to maintain compared to other solutions."

"For me, mainly, it reduces my costs. It's not only the appliance cost. There are also support costs and a maintenance costs. It does reduce the costs very drastically."

"The annual licensing fees are twenty-two percent of the product cost."

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Top Industries

By visitors reading reviews

Educational Organization

62%

Financial Services Firm

Computer Software Company

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

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What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

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What is your experience regarding pricing and costs for Amazon Redshift?

I have no idea about pricing.

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Product Reports

Buyer's Guide

Amazon Redshift

December 2024

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Buyer's Guide

Netezza Analytics

December 2024

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Amazon Web Services (AWS)

IBM

Overview

What is Amazon Redshift?

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

IBM Netezza Analytics is an embedded, purpose-built, advanced analytics platform that empowers analytic enterprises to meet and exceed their business demands. As features, it can predict with more accuracy, deliver predictions faster and respond rapidly to changes.

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

A leading online advertising network

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: November 2024.

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